Asynchronous programming lets an operation wait without blocking other work. In Python and DSPy applications, asyncio can improve performance when slow operations make it worthwhile. section 7.5
Weigh the possible speedup against added complexity:
- Async code can make error handling and debugging harder; bugs may be subtle or appear only in some executions. section 7.5
- It can also produce larger code and be harder to run in Jupyter Notebooks or Google Colab. section 7.5
- Start with synchronous code, then switch only after identifying slow parts that justify the extra complexity. section 7.5
